This document describes an AI-enabled workforce advisory tool to help managers of distributed and remote teams. The tool aims to provide strategic decision support for optimal resource utilization, project timeline and cost management, and delivery scheduling. It would assess multiple project plans and progress in real-time to provide interactive analytics and identify issues affecting team progress. This would help managers better plan resources, budgets, and schedules across ongoing and planned projects. The document outlines challenges of managing dispersed scrum teams working on multiple programs and projects. It proposes an AI solution integrating with existing tools to track engagement, allocation, and performance at both the individual and program levels.

1. AN AI ENABLED WORKFORCE ADVISORY TOOL FOR MANAGING
DISTRIBUTED AND REMOTE TEAMS
ACTIVE
INTELLIGENCE
Active Intelligence

2. VISION & OBJECTIVE
2
To ensure an end to end
intelligent state of the art
project management analytics
for the project manager to
take strategic decision on a
real time for the optimal
resource utilization and
management, planning project
timeline, cost, and delivery
scheduling based on several
scenarios and priorities.
An intelligent analytics advisory
platform that can assess project
plans, progress at real time and
historical data for cognitive
assessment thus proactively
predicts and prescribes feasible
optimal solutions to ensure
effective resource management,
time scheduling, budget
planning, and resource
utilization scenarios.
Leveraging complex machine
learning and deep learning
algorithms on the real time and
historic data, visual interactive
analytics are generated for the
project manager to take strategic
decisions for the optimal
utilization, monitoring, planning,
and controlling of the available
resources.
WHY WHAT HOW
A complete holistic and AI driven analytics advisory solution to assess multiple real time project plans and progress thereby giving deep rooted interactive
analytical visualizations in a single dashboard to the delivery manager to take decisions for resource management and optimizationon and end to end
project planning while mitigating the brewing issues that are interfering with the teams progress for each of the on going and scheduled projects.
Active Intelligence
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3. MEET JILL: CHIEF SCRUM MASTER AT A LARGE TELCO MANAGING 50+DISTRIBUTED
TEAMS ACROSS MULTIPLE PROGRAMS
“I manage 50+ globally disbursed scrum teams and I need to ensure delivery success , resource utilization and efficient use of budget . But
it’s difficult to track this across all my teams and resources and I have not come across a tool that does this without heavy human
intervention as yet ”
Goals
• Track and resolve program risks , resource risks
• Resource engagement , progress and performance
• Teams deliver on time and on budget .
• Continuous improvement in team and program measures
Frustrations
• With dispersed teams and multiple applications, Jill's focus gets lost day to day
• Inability to prioritize initiatives and problems to fix
• Too much dependency on other managers, scrum masters or gut feeling
Requirements
• Unified understanding of teams' progress and performance across multiple programs
• Ability to spot trends and brewing problems across resources beforehand
• Intelligence for efficient utilization of shared service resources across multiple teams and
programs
Active Intelligence
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4. USE CASE: JILL’S(CHIEF SCRUM MASTER) WORKING WITH GLOBALLY DISTRIBUTED TEAMS RESPONSIBLE TO
DELIVER MULTIPLE PROJECTS WITH DIFFERENT DELIVERY PRIORITIES. MONITORING THE TEAM AND PROJECT
PROGRESS AT MICRO-LEVEL WOULD NEED HYBRID TOOLS. THEREFORE TO CONSOLIDATE DETAILED PROJECT
INFORMATION IS TIME CONSUMING AND MAY NEED LOTS OF MANUAL INTERVENTIONS
Active Intelligence
Scenario
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5. KEY CHALLENGES IN MANAGING LARGE SCALE AGILE PROGRAMS AND RESOURCES
Active Intelligence
1. Resource mismanagement leading to talent drain-out, resource effort
wastage, resource talent mis-fit, non-optimized resource utilization
2. Employee engagement can be compromised if they have multiple
dependencies or underutilized
3. Non-visibility for inter-project resource utilization for talent utilization
because of multiple interfaces to manage demand of activities and ticketing of
defaults
With multiple teams, multiple systems, multiple geographies and even multiple methodologies used across the program and
team level , the chief scrum master does not have unified understanding of resource utilization and engagement , and often must
depend on other managers or gut feeling to take decision .
Key insight
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6. BUSINESS CASE OF A BANK USING LARGE SCALE DISTRIBUTED PROGRAM
Typical scenario for a large bank using large scale agile programs and resources
Average project teams cost profile (7-9 people) per program : $1.5Million p.a
Average underutilization proportion: 10%
Company project team delivery teams running in parallel > 50 teams
$1.5 million * 10%*50= $7.5 million AUD p.a cost savings
Active Intelligence
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Huge cost saving (~AUD
$7.5 million)
Workforce
engagement
optimization
Skill based
project allocation
Proactive
resource
levelling
Auto-project
alignment for
better workforce
management
Performance
monitoring
Talent retention
Key Benefits

7. OUR SOLUTION – DRIVEN BY REAL TIME AUGMENTED
INTELLIGENCE
7
Active Intelligence
1: Smart resource allocation capability
The solution recognises key resource(floating resource ) under-utilised within your
large team or multiple teams , optimises against prioritisation and matches them
with other teams needs & bottlenecks to ensure 100 %utilisation
2. Individual delivery employee engagement measure
By tracking Individual delivery engagement metrics (task completion rate,
interaction data points) in real time, we provide real time objective insights and
notifications to fix any engagement and performance issues , empowering resource
push their capabilities to the next level
3. Integrating and supercharging existing tools
Integrating with tools that are already being used by business (Jira,
Workday, Asana, Outlook, and so on ), we simplify and track progress
across disparate agile teams , processes and tools
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8. Active Intelligence
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9. OUR KEY KPI TO MEASURE SUCCESS
Active Intelligence
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10. OUR COMPETITOR ADVANTAGE IS WITHIN 2 CORE SERVICES – THE AI WORKFORCE
OPTIMISATION & THE DELIVERY EMPLOYEE ENGAGEMENT SERVICES
Active Intelligence
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Active
Intelligence
Retain Saviom Portfolio
for JIRA
AI optimise workforce imbalance
Consolidated interactive dashboard
Provide employee capacity timetable
Forecast the risk of project delay
Employee engagement information:
Productivity, Stress level, Rework
operations, Number of deliveries
Real time project budget burn down
vs progress burn up trend
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11. WE HAVE AN API SUBSCRIPTION BUSINESS MODEL. THERE ARE 2 SLIDING-SCALE
VARIABLES DRIVING OUR PRICE OFFERING – API AND USER BASE
1
1
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Active Intelligence
AU$ 1 API
integration
2-3 API
integrations
4-5 API
integrations
6-7 API
integrations
Under 50
people
$8.99/pppm $12.99/pppm $16.99/pppm $20.99/pppm
51-499
people
$2.99/pppm $6.99/pppm $10.99/pppm $14.99/pppm
Above 500
people
$1.99/pppm $3.99/pppm $6.99/pppm $10.99/pppm
An API typically represents a single connection to another software tool used

12. OUR ROADMAP
Near term
Middle term
Long term
Dashboard
A deeply satisfying, comprehensive
view of resource allocation across
projects in a single dashboard ,
with an uncanny ability to spot
inefficiencies and gaps that can be
swiftly resolved.
Individual and team
engagement stories for
performance appraisal
Resource recommendation
AI resource recommendation
using cognitive data
Active Intelligence
Team engagement data
across teams and programs
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